Hydrobiological Assessment of the High Mountain Kolsay Lakes (Kungey Alatau, Southeastern Kazakhstan) Ecosystems in Climatic Gradient

E. Krupa, S. Barinova, S. Romanova, A. B. Malybekov
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引用次数: 12

Abstract

Aims: The aim of this study is to assess the ecological status of the Kolsay high mountain lakes according to their hydrochemical parameters and structure of phytoplankton communities and reveal the altitude climatic condition impact. Study Design: We implemented bio-indication and diverse statistical methods, which represent some new approaches in freshwater algal diversity analysis. Place and Duration of Study: Institute of Evolution, University of Haifa, Israel, Institute of Zoology, Ministry of Education and Science, Almaty, Kazakhstan, between August 2015 and April 2016. Methodology: We collected 20 samples of phytoplankton in August 2015 from four ultrafresh high mountain Kolsay lakes, located at the altitude of 1829-3170 meters above sea level in the Kungey Alatau, Southeastern Kazakhstan in gradients of climatic and environmental variables that we analyzed. Bio-indication and statistical methods for the ABC Method, Shannon-Weaver index, and WESI index (Water Ecosystem State Index) that indicated some toxic effect on photosynthesis of Original Research Article Krupa et al.; BJECC, 6(4): 259-278, 2016; Article no.BJECC.2016.025 260 algae were used together with Statistica 12.0 and CANOCO Programs for calculating of relationships between environmental and algal communities data among the altitude of the lakes. Results: As a result, 28 species from five taxonomic divisions were identified in phytoplankton communities. According to hydrochemical indices, the lakes were classified as clean, with a slightly increased level of organic pollution in the Middle and Upper Kolsay. The ratio of species in the phytoplankton communities in all the lakes was corresponding to alkaline fresh non-flowing waters. Indication of the indicator species’ ratio, functional groups and size structure (the AbundanceBiomass-Comparison method, ABC) of phytoplankton showed that the level of organic pollution decreased in the high-altitude direction. The relationship between the graphic (ABC Method) and the calculation method (Shannon-Weaver index) used for the analysis of the phytoplankton structure is shown. Dynamics of saprobiological and dimensional parameters of phytoplankton links well with the distribution of the recreational load on the lake. The change of biomass of planktonic algae to a greater extent was determined by the dynamics of nitrogen compounds. In general, together with a low level of heavy metals in the water of lakes, the values of WESI index (Water Ecosystem State Index) indicated some toxic effect on photosynthesis of algae in the Lower, Middle Kolsay and the Lake Sary-Bulak. We revealed major variables that considered stimulating or stress factors with helps of statistical programs. Conclusion: Analysis of hydrochemical and biological data demonstrated that Kolsay mountain lakes are in the early stages of eutrophication. The processes of eutrophication are most evident in the Lower Kolsay. The changes in ecosystems of Kolsay mountain lakes can be caused by the growth of recreational load alongside the altitude related climate change.
气候梯度下高山科尔塞湖生态系统的水文生物学评价
目的:从湖泊水化学参数和浮游植物群落结构等方面评价科尔赛高山湖泊的生态状况,揭示海拔气候条件对湖泊生态环境的影响。研究设计:采用生物适应症和多样化的统计方法,为淡水藻类多样性分析提供了新的思路。研究地点和时间:2015年8月至2016年4月,以色列海法大学进化研究所,哈萨克斯坦阿拉木图教育与科学部动物研究所。方法:2015年8月,我们在哈萨克斯坦东南部Kungey Alatau海拔1829-3170米的4个超新鲜高山Kolsay湖泊采集了20份浮游植物样本,并对气候和环境变量进行了梯度分析。ABC法、Shannon-Weaver指数和WESI指数(Water Ecosystem State index)对原研论文Krupa等光合作用有一定毒性作用的生物指示和统计方法;生物工程学报,6(4):259-278,2016;文章bjecc .2016.025 260藻类与Statistica 12.0和CANOCO程序一起计算湖泊海拔环境与藻类群落数据之间的关系。结果:共鉴定出浮游植物群落5个分类区28种。根据水化学指标,湖泊被划分为清洁湖泊,中上游湖泊的有机污染程度略有增加。各湖泊浮游植物群落的种类比例与碱性淡水非流动水体相对应。浮游植物指示种比例、官能团和大小结构(丰度生物量比较法,ABC)表明,有机污染水平在高海拔方向呈下降趋势。图(ABC法)与用于分析浮游植物结构的计算方法(Shannon-Weaver指数)之间的关系。湖上浮游植物的腐殖生物动态和量纲参数与游憩负荷的分布有很好的联系。浮游藻类生物量的变化在很大程度上取决于氮化合物的动态。总体而言,在湖泊水体重金属含量较低的情况下,水体生态系统状态指数(WESI)值表明下、中科尔塞湖和sry - bulak湖对藻类光合作用有一定的毒害作用。在统计程序的帮助下,我们揭示了考虑刺激或压力因素的主要变量。结论:水化学和生物学数据分析表明,科尔赛山地湖泊处于富营养化的早期阶段。富营养化过程在科尔塞河下游最为明显。高尔赛山地湖泊生态系统的变化可能是由休闲负荷的增长和海拔相关的气候变化引起的。
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